dependent and independent variables in statistics

The dependent variable is sometimes called the “response,” the “symptoms”, or the “outcome”.
The dependent variable is often the focus of the research study.
Independent variables: Independent variables aren't affected by any other variables that the study measures.

What is independent and dependent variable statistics example?

Example: How long you sleep (independent variable) affects your test score (dependent variable).
This makes sense, but: Example: Your test score affects how long you sleep.
This doesn't really make sense (unless you can't sleep because you are worried you failed a test, but that would be a different experiment).

What is independent or dependent in statistics?

An independent event is an event in which the outcome isn't affected by another event.
A dependent event is affected by the outcome of a second event.

What is independent vs dependent variable in statistics?

For instance, independent variables are sometimes called factors or predictor variables.
Dependent variables are sometimes referred to as the outcome variable.
Tip 2: One way to differentiate between whether a variable is independent or dependent is to consider when each variable occurred.

The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable.

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